Data Engineer (AWS + pySpark)

• Having 4-5 yrs years of relevant experience, which includes hands on experience in Big Data technologies.

• Mandatory - Hands on experience in Python and PySpark.

• Build pySpark applications using Spark Dataframes in Python.

• Worked on optimizing spark jobs that processes huge volumes of data.

• Hands on experience in version control tools like Git.

• Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.

• Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.

• Good to have knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc.

• Have worked with columnar storage formats - Parquet etc. Well versed with compression techniques – Snappy, Gzip.

• Valuable to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.am

📌 Data Engineer (Hyderabad)
🏢 Zensar
📍 Hyderabad